14 citations · 27 across the 7 of their papers we have counts for
6 papers · 1 filter
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning
Kayoung Ban, Myeonghun Park, Raymundo Ramos
We develop a machine learning algorithm to turn around stratification in Monte Carlo sampling. We use a different way to divide the domain space of the integrand, based on the heig…
Exploring the Synergy of Kinematics and Dynamics for Collider Physics
Kayoung Ban, Kyoungchul Kong, Myeonghun Park +1
In collider experiments, an event is characterized by two distinct yet mutually complementary features: the `global features' and the `local features'. Kinematic information such a…
DeeLeMa: Missing information search with Deep Learning for Mass estimation
Kayoung Ban, Dong Woo Kang, Tae-Geun Kim +2
We introduce DeeLeMa, a deep learning-based network for the analysis of energy and momentum in high-energy particle collisions. This novel approach is specifically designed to addr…
Phenomenological implications on a hidden sector from the Festina Lente bound
Kayoung Ban, Dhong Yeon Cheong, Hiroshi Okada +3
We apply the Festina Lente (FL) bound on a hidden sector with gauge symmetries. Since the FL bound puts a lower bound on masses of particles charged under the gauge s…
A comprehensive study of vector leptoquark with on the -meson and Muon g-2 anomalies
Kayoung Ban, Yongsoo Jho, Youngjoon Kwon +3
Recently reported anomalies in various meson decays and also in the anomalous magnetic moment of muon motivate us to consider a particular extension of the standard m…
Search for new light vector boson using at BESIII and Belle II
Kayoung Ban, Yongsoo Jho, Youngjoon Kwon +3
We investigate various search strategies for light vector boson in mass range using associated channels at BESIII and Belle II: (i) $J/Ψ\to η_…